About this Event

Come and join us - Cut through the hype and see what it really means to be a data scientist!

This event is sponsored by Pivigo, a data science marketplace and training provider. Pivigo supports organisations to innovate with data, by connecting them with a global community of data scientists. Clients include AstraZeneca, Barclays, Royal Mail, Made.com, and many SME’s and start-ups. Pivigo also runs Europe’s largest data science training programme, Science to Data Science (or S2DS). In this five-week programme, aspiring data scientists have an opportunity to gain valuable commercial experience, by working in teams on real, company-led data science projects.

Key facts:

Runtime: 61m

Language: English (and with English subtitles)

Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before (after all, the question of self-driving cars is the trolley problem made real).

In DATA SCIENCE PIONEERS, real data scientists contextualize the role and why they love it while exploring the concerns and challenges to come. DATA SCIENCE PIONEERS is proof that data scientists aren’t just data-crazy mathematicians that happen to work in a cutting-edge field; they enjoy their work and want to take on difficult ethical questions, too. They want to make a difference.

For the non-data scientist, DATA SCIENCE PIONEERS is still a critical piece of the puzzle that is the future of AI - it’s about getting to know the people that are building systems that affect everyone’s day-to-day lives. Accepting AI as an inevitability is complex and might start with data scientists themselves, but it’s a fundamental change that will affect all and that cannot happen in isolation. DATA SCIENCE PIONEERS brings the story that will fuel discussions about not only how to construct a solid foundation for AI, but also a supportive community of those responsible for building it.

The agenda:

6:30 PM Welcome, food, & drinks

7:00 PM Screening

8:00 PM Drinks & networking

Looking forward to seeing you there! :-)

And don't forget to visit our website of the documentary: https://www.datascience.movie/